Iterations refer to the repeated processes used to approach a solution in optimization methods. In the context of optimization algorithms, each iteration involves recalculating the parameters or variables to progressively converge toward an optimal solution, often based on the feedback from the previous step. This systematic approach allows algorithms like steepest descent and BFGS to refine their guesses and improve their performance with each cycle.
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